Co-occurring keywords · papers mentioning both
Papers
Causal Reasoning with Bipartite Graphical Causal Models
UAI 2026
One Model to Rule Them All: Canonically Gluing Causal Models Along Shared Substructures
UAI 2026
Exact discovery is polynomial for certain sparse causal Bayesian networks
CLeaR 2025
Nondeterministic Causal Models
CLeaR 2025
Toward Universal Laws of Outlier Propagation
UAI 2025
Characterising Interventions in Causal Games
UAI 2024
Intervention and Conditioning in Causal Bayesian Networks
NeurIPS 2024
On Building a Semi-Automated Framework for Generating Causal Bayesian Networks from Raw Text
IJCAI 2023
Knowledge transfer for learning subject-specific causal models
PGM 2022
Conditional independences and causal relations implied by sets of equations
JMLR 2021
Knowledge Transfer for Learning Markov Equivalence Classes
PGM 2020
On Learning Causal Structures from Non-Experimental Data without Any Faithfulness Assumption
ALT 2020
Computationally and statistically efficient learning of causal Bayes nets using path queries
NeurIPS 2018
Learning and Testing Causal Models with Interventions
NeurIPS 2018